The Role:

We are seeking a highly skilled and experienced Staff Analytics Engineer to join our Product Analytics team. This role requires

proficiency in Python to set up Engineering Platforms and configure robust data pipelines,
experience with the Google Cloud Platform (GCP) to run ETLs,
and hands-on experience in designing Tableau Workbooks.

The successful candidate will play a critical role in ingesting and transforming raw data into actionable insights to drive business decisions. If you're familiar with Scrum Agile methodologies and energetic, with a 'roll up your sleeves and do whatever it takes' attitude, we’d like to meet with you.

Requirements:

Bachelor's (or Master’s) degree in Computer Science, Information Systems, or a closely related discipline
5+ years of experience as an Analytics Engineer.
Overall solid programming skills, able to write modular, maintainable code in Python
Experience in creating data pipelines and transforming data using SQL in GCP
Experience in creating Tableau workbooks
Experience in working with AWS Services like S3, SNS, SQS, and AWS Lambda Function.
Experience in Kubernetes and CI/CD Process.
Experience in working with NoSQL DBs (e.g. MongoDB, DynamoDB)
Experience in working with event-driven systems.
Familiarity with Agile methodologies and product development processes
Excellent communication and collaboration skills

Responsibilities :

Develop R&D Analytical Data Lake for real-time data ingestion, storage, processing and analytics on BI tools
Develop and maintain data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation, and loading of data from a wide variety of data sources using Python and SQL
Develop Tableau dashboards by establishing connections with GCP and other tools

What we offer:

Playing a part in the story of a fast-growing company
Competitive compensation package
Exciting career opportunities and training
Very highly skilled colleagues
Lunch and recreational benefits
Occupational health care